inworld: commit of original text file and changes that copy openai's with Inworld TTS as only change
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@@ -16,16 +16,15 @@ from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.services.inworld.tts import InworldHttpTTSService
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.services.openai.stt import OpenAISTTService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
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from pipecat.transports.services.daily import DailyParams
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load_dotenv(override=True)
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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# instantiated. The function will be called when the desired transport gets
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# selected.
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@@ -53,7 +52,11 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
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# Create an HTTP session
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async with aiohttp.ClientSession() as session:
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stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
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stt = OpenAISTTService(
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api_key=os.getenv("OPENAI_API_KEY"),
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model="gpt-4o-transcribe",
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prompt="Expect words related to dogs, such as breed names.",
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)
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tts = InworldHttpTTSService(
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api_key=os.getenv("INWORLD_API_KEY", ""),
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@@ -67,7 +70,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
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messages = [
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{
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"role": "system",
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"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
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"content": "You are very knowledgable about dogs. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
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},
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]
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@@ -77,7 +80,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
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pipeline = Pipeline(
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[
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transport.input(), # Transport user input
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stt,
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stt, # STT
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context_aggregator.user(), # User responses
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llm, # LLM
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tts, # TTS
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@@ -89,6 +92,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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audio_out_sample_rate=24000,
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enable_metrics=True,
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enable_usage_metrics=True,
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),
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